Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans-Reference-Cited by-同舟云学术

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Clinical feasibility of deep learning based synthetic contrast enhanced abdominal CT in patients undergoing non enhanced CT scans

Published:2024-07-31 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Han Seungchul,Kim Jong-Min,Park Junghoan,Kim Se Woo,Park Sungeun,Cho Jungheum,Park Sae-Jin,Chung Han-Jae,Ham Seung-Min,Park Sang Joon,Kim Jung Hoon

Funder

National Research Foundation of Korea

SNUH Research Fund

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-68705-z.pdf

Reference29 articles.

1. Cao, C. F. et al. CT Scans and cancer risks: A systematic review and dose-response meta-analysis. BMC Cancer 22, 1238. https://doi.org/10.1186/s12885-022-10310-2 (2022).

2. Schockel, L. et al. Developments in X-Ray contrast media and the potential impact on computed tomography. Invest. Radiol. 55, 592–597. https://doi.org/10.1097/RLI.0000000000000696 (2020).

3. Bae, K. T. Intravenous contrast medium administration and scan timing at CT: Considerations and approaches. Radiology 256, 32–61. https://doi.org/10.1148/radiol.10090908 (2010).

4. Kaiser, S., Finnbogason, T., Jorulf, H. K., Soderman, E. & Frenckner, B. Suspected appendicitis in children: Diagnosis with contrast-enhanced versus nonenhanced Helical CT. Radiology 231, 427–433. https://doi.org/10.1148/radiol.2312030240 (2004).

5. Faucon, A. L., Bobrie, G. & Clement, O. Nephrotoxicity of iodinated contrast media: From pathophysiology to prevention strategies. Eur. J. Radiol. 116, 231–241. https://doi.org/10.1016/j.ejrad.2019.03.008 (2019).

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